Designing domain-specific hardware to accelerate such computationally hard problems of AI has been receiving increasing attention with the slowing pace of Moore's Law. There have been a number of approaches to build special-purpose hardware to solve computationally hard problems. A class of such solvers (also known as Ising Machines) specifically solve quadratic energy models or the Ising model, typically mapped to problems in NP [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}, [13]}, [14]}, [15]}, [16]}, [17]}, [18]},
\(E = - \left(\sum J_{ij} m_i m_j + \sum h_i m_i \right) \vspace{-4.0pt}\) 
